基于自适应基准值改进的RSSI加权质心定位算法

Improved RSSI Weighted Centroid Localization Algorithm Based on Adaptive Reference Value

提出一种根据设定接收的信号强度指示基准值改进的加权质心算法.先通过锚节点向周围发散自身坐标等相关数据包,然后假设某一参考节点为未知节点,测得与周围锚节点传播过程中的信号强度损耗值,判断最小的接收信号强度指示值,优化样本集合,将修正的信号指示值参数作为相应新表节点的权重,并求得定位误差.MATLAB仿真结果表明,该算法相比于传统算法的定位精度更高,定位误差波动更小,且有较强的机动性和可适应性.

We proposed an improved weighted centroid algorithm based on setting the received signal strength indication reference value.First,the relevant data packets such as the coordinates were diverted from the anchor node to the surrounding area.Then,assuming that a reference node was an unknown node,the signal intensity loss value in the process of propagation with the surrounding anchor node was measured,the minimum received signal intensity indication value was judged,and the sample set was optimized.The parameters of the revised signal indication value were taken as the weights of the corresponding new table nodes,and the location error was obtained.The simulation results of MATLAB show that,compared with the traditional algorithm,the algorithm has higher location accuracy,smaller fluctuation of location error,and strong mobility and adaptability.